Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Peter V. Rasmussen"'
Autor:
Laura Andreasen, Jonas Ghouse, Morten W. Skov, Christian T. Have, Gustav Ahlberg, Peter V. Rasmussen, Allan Linneberg, Oluf Pedersen, Pyotr G. Platonov, Stig Haunsø, Jesper H. Svendsen, Torben Hansen, Jørgen K. Kanters, Morten S. Olesen
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Introduction: A previous genome-wide association study found three genetic loci, rs9388451, rs10428132, and rs11708996, to increase the risk of Brugada Syndrome (BrS). Since the effect of these loci in the general population is unknown, we aimed to i
Externí odkaz:
https://doaj.org/article/b6c39aa0ff3241b69e27e161ab12d15c
Autor:
Morten W. Skov, Jonas Ghouse, Jørgen T. Kühl, Pyotr G. Platonov, Claus Graff, Andreas Fuchs, Peter V. Rasmussen, Adrian Pietersen, Børge G. Nordestgaard, Christian Torp‐Pedersen, Steen M. Hansen, Morten S. Olesen, Stig Haunsø, Lars Køber, Thomas A. Gerds, Klaus F. Kofoed, Jesper H. Svendsen, Anders G. Holst, Jonas B. Nielsen
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 7, Iss 11 (2018)
BackgroundThe electrocardiographic interatrial block (IAB) has been associated with atrial fibrillation (AF). We aimed to test whether IAB can improve risk prediction of AF for the individual person. Methods and ResultsDigital ECGs of 152 759 primary
Externí odkaz:
https://doaj.org/article/7963d72bd1364e259fec4727803a9609
Autor:
Christian Torp-Pedersen, Keith AA Fox, Ralf E Harskamp, Karen Pieper, Frederik Dalgaard, Freek Verheugt, A John Camm, Ajay K Kakkar, Jannik L Pallisgaard, Peter V Rasmussen, Henk van Weert, Tommi Bo Lindhardt, Gunnar H Gislason, Martin H Ruwald
Publikováno v:
BMJ Open, Vol 9, Iss 11 (2019)
Objectives To externally validate the accuracy of the Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) model against existing risk scores for stroke and major bleeding risk in patients with non-valvular AF in a population-
Externí odkaz:
https://doaj.org/article/efda6449e2cf49e1b565ce3d8fcc6cd8
Publikováno v:
Research Methods in Medicine & Health Sciences. 3:42-48
The Cox model is one of the most used statistical models in medical research. It models the hazard rate of an event and its association with covariates through hazard ratios. In the simple setting without competing risks nor time-dependent covariates
Autor:
Gitte Lee Mortensen, Peter V Rasmussen
Publikováno v:
Patient preference and adherence
Lee Mortensen, G & Rasmussen, P V 2017, ' The impact of quality of life on treatment preferences in multiple sclerosis patients ', Patient Preference and Adherence, vol. 11, pp. 1789-1796 . https://doi.org/10.2147/PPA.S142373
Lee Mortensen, G & Rasmussen, P V 2017, ' The impact of quality of life on treatment preferences in multiple sclerosis patients ', Patient Preference and Adherence, vol. 11, pp. 1789-1796 . https://doi.org/10.2147/PPA.S142373
Gitte Lee Mortensen,1 Peter V Rasmussen2 1Medical Anthropology Department, AnthroConsult, 2Department of Neurology, University Hospital of Aarhus, Aarhus C, Denmark Introduction: Multiple sclerosis (MS) is a demyelinating disorder with an unpredictab